<html><head><title>Data Scientist - San Jose, CA 95112</title></head>
<body><h2>Data Scientist - San Jose, CA 95112</h2>
<p><b>Company Overview</b><br/>
RSi is a leading provider of retail data science based analytics and a big data management platform which helps top retailers and CPG companies manage their supply chain and marketing initiatives to drive sales results. Using machine learning, streaming analytics and predictive models, we are the go-to cloud based; peta-scale SaaS data management platform in the retail industry.
</p><p>Join our team as a Data Scientist and join a global innovative technology leader with a strong presence in San Jose, CA.</p><p><b>
Position Summary</b><br/>
The <b>Data Scientist</b> as part of the RSi Data Science Research &amp; Development team will drive and participate in the design and implementation of ML/AI algorithms working with the retail and supply chain data. This needs knowledge of statistical modeling, data mining, and machine learning concepts, and includes understanding business requirements, conducting advanced data analysis, designing algorithms, providing algorithm specifications and also the corresponding optimization/tuning guidelines.
</p><p>The Data Scientist is responsible for helping on defining and performing advanced analyses against large and varying data sets related to retail sales and operations in support of various Retail Solutions' customer driven solution creation. The objective of these analyses will be to answer important business questions and should result in input parameters and/or new algorithms to be leveraged in highly-sophisticated analytic applications.
</p><p>This individual will work closely with a team of Data scientists, data engineers, software engineers and Product managers to provide the solution.
</p><p>The Data Scientist will report to Head of Data Science at RSi.</p><p><b>
Essential Duties and Responsibilities</b></p><ul><li>Actively contribute in the major AI work streams including Machine Learning, Deep Learning and Statistical modeling (mainly time series modeling and forecasting), and the initiatives on AI including image recognition, NLP, etc</li><li>Identify, evaluate, propose and drive the opportunities on new use cases as well as useful insights for solving key business issues and delivering significant business value</li><li>Work closely with product leadership and other data scientists to provide strategic support during product-market fit analysis, competitor analysis, market gap analysis, MVPs and pivot analysis, A/B tests, product performance indicators, post-release adoption, and usage metrics</li><li>Drive the building and continuously enhancing the data science framework for maximizing the efficiency of model building, for optimized performances, as well as the fully covered automation</li></ul><p><b>
Qualifications</b></p><ul><li>Master Degree or higher in Statistics, Engineering - with courses completed on the Machine Learning, Statistics, Predictive algorithms and/or related areas</li></ul><ul><li>2+ years of solid work experience in big data analytics (Statistical Modeling, Machine Learning and Predictive Analysis)</li><li>1+ years of hands-on data science experience working ideally in a Retail and/or CPG Supply chain industry</li><li>2+ years of working in a software development, data science &amp; analytics organization; familiarity in software engineering processes for delivering large scale and quality applications</li><li>Strong experience in statistics &amp; analytical modeling, time-series data analysis, forecasting modeling, machine learning algorithms, and deep learning approaches and frameworks</li><li>Good experience with R and/or Python programming, can use R/Python to create analysis programs using linear regression, pattern recognition, and machine learning methods</li><li>Has decent SQL knowledge and skills, can write SQL queries for retrieving the data from the data repositories/databases</li><li>Has data visualization and representation skills</li><li>Nice to have knowledge on the big data techniques including the Hadoop/Hive eco-system, distributed data processing, message queues, high performance databases (columnar, sharding, etc.), and massive parallel processing and micro-batch processing engines such as Apache Spark</li><li>Have very good communication skills and cross-team collaboration skills for business needs to be converted and prioritized to the right data analysis projects</li><li>Good to have experience in Agile development practices</li></ul><p><b>
ABOUT RETAIL SOLUTIONS, INC.:</b></p><p>
Retail Solutions, Inc. ("RSi") develops and delivers a comprehensive suite of award-winning software-as-a-service (SaaS) solutions that turn Retailer "downstream data", such as point-of-sale (POS), supply chain, merchandiser feedback and category data, into actionable visibility into the store and onto the shelf for their suppliers.</p><p>
RSi, the largest and fastest-growing company in the Retail Execution Management field, has more experience with processing customer-specific retailer data than any other company. Retailers and consumer product goods (CPG) companies trust Retail Solutions to grow sales, reduce out-of-stocks, improve promotion execution and effectiveness, maximize retail operation productivity and foster collaborative relationships in the retail industry to improve product availability for the end-consumer.</p><p>
RSi serves more than 500 CPG Companies, including 23 of the top 25 global consumer goods companies, and processes data from more than 175 leading retailers in the Americas and Europe.<br/>
Retail Solutions, Inc. is headquartered in San Jose, CA and has offices in Providence, RI, Bentonville, AR, Minneapolis, MN, Chicago, IL, Brentford, UK, Munich, Germany, Pune, India, and Shanghai, China. RSi is an equal opportunity employer.<br/>
To learn more about our Privacy Policy, visit our website at https://www.retailsolutions.com/privacy-policy/.</p><p></p><br/>
<p>
AZlLVRqJ1k</p></body>
</html>